U ?h@s>ddlZddlmZmZddZdejddfddd d ZdS) N)cKDTreedistancec st|}|j||d}t}d}t|D]|\}} ||kr*| |tj||g|| tj|dd} fddt | | D} | | |d7}|dk r*||kr*qq*t j |t |dd } |dk r| d|} | S) aReturns a subset of coord where a minimum spacing is guaranteed. Parameters ---------- coord : ndarray The coordinates of the considered points. spacing : float the maximum allowed spacing between the points. p_norm : float Which Minkowski p-norm to use. Should be in the range [1, inf]. A finite large p may cause a ValueError if overflow can occur. ``inf`` corresponds to the Chebyshev distance and 2 to the Euclidean distance. max_out: int If not None, at most the first ``max_out`` candidates are returned. Returns ------- output : ndarray A subset of coord where a minimum spacing is guaranteed. )rpr)rcsg|]\}}|kr|qSr).0cdspacingrG/var/www/html/venv/lib/python3.8/site-packages/skimage/_shared/coord.py ,sz#_ensure_spacing..N)Zaxis)rZquery_ball_pointset enumerateremoverZcdistZ minkowskiZreshapezipupdatenpdeletetuple) Zcoordr p_normmax_outtreeindicesZrejected_peaks_indicesZ nacceptedidx candidatesdistoutputrr r _ensure_spacings.    r r2i)max_split_sizec Cs|}t|rt|}|dkr&|g}nPt|}|g} |} || d|krj| d9} | | dt| |q8t|| }tjd|jdf|jd}|D]4} t t || g|||}|dk rt||krqq|S)aReturns a subset of coord where a minimum spacing is guaranteed. Parameters ---------- coords : array_like The coordinates of the considered points. spacing : float the maximum allowed spacing between the points. p_norm : float Which Minkowski p-norm to use. Should be in the range [1, inf]. A finite large p may cause a ValueError if overflow can occur. ``inf`` corresponds to the Chebyshev distance and 2 to the Euclidean distance. min_split_size : int Minimum split size used to process ``coords`` by batch to save memory. If None, the memory saving strategy is not applied. max_out : int If not None, only the first ``max_out`` candidates are returned. max_split_size : int Maximum split size used to process ``coords`` by batch to save memory. This number was decided by profiling with a large number of points. Too small a number results in too much looping in Python instead of C, slowing down the process, while too large a number results in large memory allocations, slowdowns, and, potentially, in the process being killed -- see gh-6010. See benchmark results `here `_. Returns ------- output : array_like A subset of coord where a minimum spacing is guaranteed. Nrrr)dtype) lenrZ atleast_2dappendminZ array_splitZzerosshaper$r Zvstack) Zcoordsr rZmin_split_sizerr"rZ batch_listZ coord_countZ split_idxZ split_sizebatchrrr ensure_spacing=s0%   r*)numpyrZ scipy.spatialrrr infr*rrrr s8